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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "plgem" in publications use:'
type: software
license: GPL-2.0-only
title: 'plgem: Detect differential expression in microarray and proteomics datasets
  with the Power Law Global Error Model (PLGEM)'
version: 1.77.0
doi: 10.1186/1471-2105-5-203
abstract: The Power Law Global Error Model (PLGEM) has been shown to faithfully model
  the variance-versus-mean dependence that exists in a variety of genome-wide datasets,
  including microarray and proteomics data. The use of PLGEM has been shown to improve
  the detection of differentially expressed genes or proteins in these datasets.
authors:
- family-names: Pavelka
  given-names: Norman
  email: normanpavelka@gmail.com
- family-names: Pelizzola
  given-names: Mattia
  email: mattia.pelizzola@gmail.com
preferred-citation:
  type: article
  title: A power law global error model for the identification of differentially expressed
    genes in microarray data
  authors:
  - family-names: 'N'
    given-names: Pavelka
  - family-names: M
    given-names: Pelizzola
  - family-names: C
    given-names: Vizzardelli
  - family-names: M
    given-names: Capozzoli
  - family-names: A
    given-names: Splendiani
  - family-names: F
    given-names: Granucci
  - family-names: P
    given-names: Ricciardi-Castagnoli
  journal: BMC Bioinformatics
  volume: '5'
  year: '2004'
  doi: 10.1186/1471-2105-5-203
  publisher:
    name: BioMed Central
  start: '203'
repository: https://bioc.r-universe.dev
url: http://www.genopolis.it
contact:
- family-names: Pavelka
  given-names: Norman
  email: normanpavelka@gmail.com